Caitlin Daly

1.7k citations
30 papers · 1.1k · h-index 15

Impact in

Papers in

Caitlin Daly

29 papers receiving 1.0k citations

Peers

Caitlin Daly
Comparison fields: 5 of 113
  • Statistics, Probability and Uncertainty 106
  • Clinical Psychology 217
  • Nephrology 51
  • Dermatology 58
  • Physiology 147
Replace Frida Emanuelsson with:
Frida Emanuelsson Denmark
M. Haugh France
Mark Belger United Kingdom
Alicia Gilsenan United States
Rafael Leite Pacheco Brazil
Dang Wei Sweden
C. Lillian Yau United States
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Fabiano Timbó Barbosa Brazil
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Citations per field
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Citations per year

Countries citing papers authored by Caitlin Daly

Since Specialization
Citations

This map shows the geographic impact of Caitlin Daly's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Caitlin Daly with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Caitlin Daly more than expected).

Fields of papers citing papers by Caitlin Daly

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Caitlin Daly. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Caitlin Daly. The network helps show where Caitlin Daly may publish in the future.

Co-authors

The 25 scholars most cited alongside Caitlin Daly, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Caitlin Daly Line = papers co-authored together Caitlin Daly links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012333
2 2020116
3 2019106
4 202072
5 201769
6 201954
7 202251
8 201350
9 201337
10 201727
11 201719
12 201619
13 201916
14 202114
15 201714
16 202211
17 202011
18 201910
19 202410
20 20229

About Caitlin Daly

Caitlin Daly is a scholar working on Statistics, Probability and Uncertainty, Clinical Psychology, Pulmonary and Respiratory Medicine, Statistics and Probability and Surgery, having authored 30 papers that have together received 1.1k indexed citations. Recurring topics across this work include Meta-analysis and systematic reviews (5 papers), Posttraumatic Stress Disorder Research (4 papers), Acne and Rosacea Treatments and Effects (2 papers), Statistical Methods in Clinical Trials (2 papers), Clinical Laboratory Practices and Quality Control (2 papers), Urinary and Genital Oncology Studies (2 papers), Bladder and Urothelial Cancer Treatments (2 papers) and Hyperglycemia and glycemic control in critically ill and hospitalized patients (1 paper). The work is most often cited by research in Statistics, Probability and Uncertainty (106 citations), Clinical Psychology (217 citations), Nephrology (51 citations), Dermatology (58 citations) and Physiology (147 citations). Caitlin Daly has collaborated with scholars based in United Kingdom, Canada and United States. Frequent co-authors include Khosrow Adeli, David Colantonio, Lianna Kyriakopoulou, Allison A. Venner, Davor Brinc, Maria Pasic, Man Khun Chan, David Armbruster, Ifigeneia Mavranezouli and Sofia Dias. Their work appears in journals such as Clinical Biochemistry, BMC Medicine, Journal of Child Psychology and Psychiatry, Research Synthesis Methods and BMC Medical Research Methodology.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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